lfo-test.html

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<html><head><title>lfo-test</title></head><body bgcolor=white><h1 align=center>Description of the program: <font color=Blue>lfo-test</font></h1><hr>This program makes a local linear ansatz and estimates the one stepprediction error of the model. It allows to determine the optimal setof parameters for the program <a href="lfo-run.html">lfo-run</a>, whichiterates the local linear model to get a clean trajectory. The givenforecast error is normalized to the variance of the data.<hr><h2 align=center>Usage:</h2><center><font color=Red>lfo-test [Options]</font><p>Everything not being a valid option will be interpreted as a potential datafile name. Given no datafile at all, means read stdin. Also <font color=Red>-</font> means stdin<p>Possible options are:<p><table border=2><tr><th>Option<th>Description<th>Default</tr><tr><th>-l#<td>number of points to use<td>whole file</tr><tr><th>-x#<td>number of lines to be ignored<td>0</tr><tr><th>-c#<td><a href=../general.html#column>column to be read</a><td>1,...,# of components</tr><tr><th>-m#,#<td>number of components to be read,embedding dimension<td>1,2</tr><tr><th>-d#<td>delay for the embedding<td>1</tr><tr><th>-n#<td>for how many points should the error be calculated<td>all</tr><tr><th>-k#<td>minimal numbers of neighbors for the fit<td>30</tr><tr><th>-r#<td>neighborhood size to start with<td>(data interval)/1000</tr><tr><th>-f#<td>factor to increase the neighborhood size<br> if not enoughneighbors were found<td>1.2</tr><tr><th>-s#<td>steps to be forecasted (x_{n+steps}=f(\vec{x}_n))<td>1</tr><tr><th>-C#<td><a href="causality.html">width of causality window</a><td>steps to be forecasted</tr><tr><th>-o[#]<td><a href=../general.html#outfile>output file name</a><td>without name: 'datafile'.fce<br>(or stdin.fce if data were read from stdin)<br>without -o results are written to stdout</tr><tr><th>-V#<td><a href=../general.html#verbosity>verbosity level</a><br>&nbsp;&nbsp;0: only panic messages<br>&nbsp;&nbsp;1: add input/output messages<br>&nbsp;&nbsp;2: output individual forecast errors<br><td>1</tr><tr><th>-h<td>show these options<td>none</tr></table></center><hr><h2 align=center>Description of the Output:</h2>For <font color=red>-V</font><2 the output consists of (# ofcomponents) numbers only, the relative forecast errors. Relativemeans, the forecast errors are devided by the standard deviations ofthe components.<br> For <font color=red>-V</font>>=2 the individual forecast errors aregiven, too.<hr>View the <a href="../../source_c/lfo-test.c"> C-sources</a>.<hr><a href=../contents.html>Table of Contents</a> * <a href="../../index.html" target="_top">TISEAN home</a></body></html>

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